[HTML][HTML] An evolutionary framework for multi document summarization using Cuckoo search approach: MDSCSA
In today's scenario the rate of growth of information is expanding exponentially in the World
Wide Web. As a result, extracting valid and useful information from a huge data has become …
Wide Web. As a result, extracting valid and useful information from a huge data has become …
Cat swarm optimization based evolutionary framework for multi document summarization
Abstract Today, World Wide Web has brought us enormous quantity of on-line information.
As a result, extracting relevant information from massive data has become a challenging …
As a result, extracting relevant information from massive data has become a challenging …
Document summarization using sentence features
Problem of exponential growth of information available electronically, there is an increasing
demand for text summarization. Text summarization is the process of extracting the contents …
demand for text summarization. Text summarization is the process of extracting the contents …
[HTML][HTML] Bio-inspired approaches for extractive document summarization: A comparative study
With the exponential growth of information in World Wide Web, extracting relevant
information from huge amount of data has become a critical task. Text summarization has …
information from huge amount of data has become a critical task. Text summarization has …
An answer recommendation framework for an online cancer community forum
Health community forums are a kind of online platform to discuss various matters related to
management of illness. People are increasingly searching for answers online, particularly …
management of illness. People are increasingly searching for answers online, particularly …
Automatic summarising of user stories in order to be reused in future similar projects
User stories play an important role in agile development systems. In this study, a method of
summarising user stories is proposed to reuse them in the future. To enhance the results …
summarising user stories is proposed to reuse them in the future. To enhance the results …
Improving Sequence-to-Sequence Models for Abstractive Text Summarization Using Meta Heuristic Approaches
A Saxena, A Ranjan - arxiv preprint arxiv:2403.16247, 2024 - arxiv.org
As human society transitions into the information age, reduction in our attention span is a
contingency, and people who spend time reading lengthy news articles are decreasing …
contingency, and people who spend time reading lengthy news articles are decreasing …
Computation of optimal spacing and density of bus rapid transit stations using evolutionary algorithms
In this research, a feasible mechanism is developed to determine the optimum number of
bus rapid transit (BRT) stations as well as their respective locations along the service …
bus rapid transit (BRT) stations as well as their respective locations along the service …
CSMDSE-cuckoo search based multi document summary extractor: cuckoo search based summary extractor
In the current scenario, managing of a useful web of information has become a challenging
issue due to a large amount of information related to many fields is online. The …
issue due to a large amount of information related to many fields is online. The …
CSTS: cuckoo search based model for text summarization
Exponential growth of information in the web became infeasible for user to sieve useful
information very quickly. So solution to such problem now a day is text summarization. Text …
information very quickly. So solution to such problem now a day is text summarization. Text …